Agents
Text-based dialogues are now widely used to solve real-world problems. In cases where solution strategies are already known, they can …
Continual Learning, also known as Lifelong or Incremental Learning, has recently gained renewed interest among the Artificial …
One of the challenges in robotics is to enable robotic units with the reasoning capability that would be robust enough to execute …
Literature reviews are an essential component of scientific research. We explore the zero-shot abilities of recent large language …
We introduce NNetscape Navigator (NNetnav), a method for training web agents entirely through synthetic demonstrations. These …
Scalable Vector Graphics (SVGs) have become integral in modern image rendering and graphic design applications due to their infinite …
We present TapeAgents, an agent framework that leverages a structured, replayable log (tape) of the agent session to facilitate all …
The extraction of a small number of relevant insights from vast amounts of data is a crucial component of data-driven decision-making. …
In this work, we investigate the challenges associated with developing goal-driven AI agents capable of performing open-ended tasks in …
Handling out-of-distribution (OOD) samples has become a major stake in the real-world deploy- ment of machine learning systems. This …